{"uid":"cap_pD0gYuC_7lVTrEPD6tjOl","slug":"one-engine-text-token-sentence-splitter-aa9d4a6e","name":"ONE Engine Text Token Sentence Splitter","description":"Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.","url":"https://one-search.one-engine.workers.dev/v3/text-token/sentences/t8?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text up to 50000 characters"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_GQjU8gZsyffg72GkULEcN","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits input text into individual sentences using a token-based NLP pipeline, returning a list of sentence segments.","exampleAgentPrompt":"Split this article into individual sentences: 'Artificial intelligence is transforming industries. Companies are investing heavily in automation. The future remains uncertain but promising.'","exampleUseCases":[{"title":"Preprocessing documents for NLP pipeline","prompt":"Take this 2,000-word research abstract and break it into individual sentences so I can analyze each one separately for sentiment."},{"title":"Chunking text for summarization","prompt":"Split this long news article into sentences — I need to process each sentence individually before summarizing the key points."},{"title":"Sentence-level data extraction","prompt":"Here's a block of customer feedback text — can you split it into individual sentences so I can classify each one by topic?"}],"resultDescription":"Returns a JSON object containing the input text segmented into individual sentences, likely as an array of sentence strings or tokens with boundary metadata, enabling downstream per-sentence processing.","failureModes":["Text exceeds 50,000 character limit — request rejected","Empty or missing 'text' field — validation error","Payment failure via x402 — 402 response before processing","Malformed JSON body — 400 bad request","Ambiguous sentence boundaries in non-standard text (e.g. abbreviations, code) — may produce unexpected splits"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-cost sentence tokenization as a preprocessing step for NLP tasks. At $0.01 per call via x402 on Base, it suits autonomous agents that need to split text programmatically without spinning up a local NLP library. Prefer it for short-to-medium text blocks (up to 50k chars) where sentence boundary detection is a utility step in a larger pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:42:28.983Z","isFirstParty":false,"canonicalSlug":"one-engine-text-token-sentence-splitter-70870aa1"}